Strategies of Italian Firms in Romania: Evidence from Selected Case Studies

The aim of this paper is to analyze the internationalization of Italian firms in Romania, operating in the sectors of footwear, furniture and industrial refrigeration. After describing and quantifying the internationalization process between Veneto and Romania, we discuss for each of the sectors, the changes that occurred in the organisation of the production processes within the firms, and particularly how such processes have been fragmented. This article draws on numerous case studies, posits different models of value chain governance, and discusses their implications for regional development and sustainability.     

Gypsy fetish: music,dirt, magic,and freedom

This article offers a reading of Transylvania (2006) directed by Tony Gatlif. It makes evident Gypsy identity’s unconscious dynamics when it occupies the position of a fetish within the cinematic story and in the interaction of the viewer with the exotic images on the screen. This specific reading argues that Gypsy fetish signals and covers over a site of psychic pain for the protagonist as well as for the viewer. Our argument insists that as a fetish Gypsy identity props up the social order. In this sense Gypsy identity is not addressed as it often is as a symptom, or more specifically as a challenge to the social order, but instead the analysis renders it to be a concealment of the lack around which the symbolic network is articulated. The article further explores Gypsy identity’s music, magic, dirt, and freedom as its key characteristics which conserve a potential access to what was disavowed and covered over – a lost enjoyment.     

Two‐stage model selection procedures in partially linear regression

The authors propose a two‐stage estimation procedure for the partially linear model Y = f_o(T) + X'β_o + ψ. They show how to estimate consistently the location of the nonzero components of β_o. Their approach turns out to be compatible with minimax adaptive estimation of f_o over Besov balls in the case of penalized least squares. Their proofs are based on a new type of oracle inequality.     

Narcissism and abject aesthetics

In this article, we explore the tendency of a number of television and art shows to challenge the usual cosmetic surgery industry’s focus on the before and after images and instead bring to central stage the time of surgery itself, when the body is immobilized, cut open and remoulded. In this context, we refer to the television series Nip/Tuck and also to the art shows of Jonathan Yeo’ You’re Only Young Twice and Anthony C. Berlet’s I Am Art: An Expression of the Visual & Artistic Process of Plastic Surgery. What these television series and art shows have in common is an interest in what we call abject aesthetics, in which the anesthetized, immobile (docile) bodies are fully exposed to the viewer’s gaze as they are cut open to allow intrusion of blood into the diegetic space, creating a breakdown of bodily borders as faces and bodies are opened up and skin is pulled from side to side. We argue that the manifested and enjoyed aggressivity towards bodies is an expression of an increased level of social narcissism, which besides producing an obsession with (adulation for) an ideal body image it simultaneously fosters a strong feeling of aggressivity towards the very ideal, hence the creation in fantasy of scenarios in which the overly restrictive and deadening ideal is torn apart to reveal its abject underside. Finally, we explore the workings of this economy of revealing and concealing, by foregrounding the concept of the abject and by staging an encounter with the grotesque in order to offer a critical perspective on the beauty ideal.     

A note on penalized minimum distance estimation in nonparametric regression

The authors introduce a penalized minimum distance regression estimator. They show the estimator to balance, among a sequence of nested models of increasing complexity, the L¹ ‐approximation error of each model class and a penalty term which reflects the richness of each model and serves as a upper bound for the estimation error.